Session

Saturday, June 24, 2017 - 09:00 to 15:45
Meeting technology and methodology into Health Big Data Analytics scenarios
Abstract: 
Health organizations are collecting more data from a wider array of sources at greater speed every day. The analysis of this vast amount and array of data creates new opportunities to deliver modern personalized health and social care services. Big Data Analytics and underlying technologies have the potential to process and analyze these data to extract meaningful insights for improving quality of care, efficiency and sustainability of health and social care systems. Health organizations face therefore a new scenario where analytical tools must accommodate both traditional business intelligence and Big Data approaches, resulting in important technological and methodological challenges to be tackled. In this paper, we analyze these challenges and present a methodological approach to address the introduction of Big Data Analytics technologies into an integrated care provider. Moreover, we propose a flexible, scalable analytical framework easily adaptable to different requirements
Pedro Gonzalez Alonso's picture
Pedro Gonzalez Alonso
Universitat Oberta de Catalunya (UOC)
Ruth Vilar's picture
Ruth Vilar
Universitat Oberta de Catalunya (SP)
Francisco Lupianez Villanueva's picture
Francisco Lupianez Villanueva